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DBMS > Dragonfly vs. FatDB vs. Firebase Realtime Database vs. H2

System Properties Comparison Dragonfly vs. FatDB vs. Firebase Realtime Database vs. H2

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonFatDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonH2  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelKey-value storeDocument store
Key-value store
Document storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score14.29
Rank#39  Overall
#6  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
firebase.google.com/­products/­realtime-databasewww.h2database.com
Technical documentationwww.dragonflydb.io/­docsfirebase.google.com/­docs/­databasewww.h2database.com/­html/­main.html
DeveloperDragonflyDB team and community contributorsFatCloudGoogle infoacquired by Google 2014Thomas Mueller
Initial release2023201220122005
Current release1.0, March 20232.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#Java
Server operating systemsLinuxWindowshostedAll OS with a Java VM
Data schemescheme-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Servernoyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization Protocol.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#Java
JavaScript
Objective-C
Java
Server-side scripts infoStored proceduresLuayes infovia applicationslimited functionality with using 'rules'Java Stored Procedures and User-Defined Functions
Triggerspublish/subscribe channels provide some trigger functionalityyes infovia applicationsCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoyesACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPassword-based authenticationno infoCan implement custom security layer via applicationsyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
DragonflyFatDBFirebase Realtime DatabaseH2
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